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Why Google Will Overtake OpenAI
Is AI Killing Creativity?

Welcome to another edition of AI PlanetX.
Google’s Gemini prepped to dominate AI; AI study warns creativity could be at risk, while Raspberry Pi launches powerful AI accelerator.
Inside This Edition: đź’Ž
Hottest AI News
Top AI & SaaS Tools
AI Tutorial: Automate Market Research
Top AI & Tech News
AI Art Spotlight
Prompt of the Day: X (Twitter) Growth Prompt
AI Video Tutorial
Weekly Creator Playbooks to Grow on Social
Hottest AI News
OpenAI
Google's Gemini Has Everything It Needs to Win the AI Race

Three years after ChatGPT caught Google off guard, Google has unified its models, infrastructure, and scale into one clear AI strategy, shifting from catching up to being positioned to lead the industry.
Details:
Google has built full-stack independence with Gemini 3, trained on its own TPUs. That means quicker, cheaper optimization without relying on Nvidia’s tight supply chain, giving Google end-to-end control
Google also locked in huge distribution through a deal to help power Apple’s Siri, which handles about 1.5 billion requests a day. It’s a major credibility signal and puts Gemini inside the iPhone ecosystem
With latest “Personal Intelligence,” Google is using its data advantage to deliver deeper personalization. By connecting Gemini to email, files, YouTube, and Search, it can answer with context automatically
While OpenAI still maintains strong brand power and a lead in daily active users, Google has effectively cornered every other strategic advantage.
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AI and Creativity
Study Warns AI Could Homogenize Human Creativity

A recent study warns of an “Artificial Hivemind,” where AI chatbots from different developers give increasingly similar answers, potentially reducing idea diversity and long-term human creativity.
Details:
To test this, researchers evaluated 25 LLMs, generating 50 responses each across open-ended creative tasks. On “write a metaphor about time,” most models clustered into two ideas: time as a “river” or a “weaver”
They found sameness at two levels: intra-model repetition (one model repeating itself) and inter-model homogeneity (different models converging on the same concepts). Likely drivers include shared datasets and similar RLHF tuning
That convergence can create a feedback loop: instead of expanding creativity, AI narrows it to what’s most common. The study warns that heavy reliance on these tools could homogenize thinking and filter out outlier ideas
If we look to AI to help us think outside the box, we need to be aware that the box is much smaller than we realized.
Top AI & SaaS Tools
Fox Signals (Life-time Deal): An AI trading signals app that scans crypto, stocks, and forex to detect patterns and deliver high-accuracy, profit-focused alerts
TeamOut: AI copilot for team offsites and corporate events, delivering tailored venues, flight cost estimates, and exclusive hotel deals [F-R-E-E]
Clawdbot: Local automation bot that controls browsers, email, IoT devices and auto-replies across WhatsApp/Telegram/Slack/Discord using API keys [F-R-E-E]
Modor: AI mockup generator that lets you upload your design and create realistic product mockups from customizable templates [F-R-E-E]
FLUX.2 [klein]: BFL introduced this high-quality image generator built for lightning-quick image creation, ideal for edits, style changes, and rapid idea development [F-R-E-E]
Wall Street Isn’t Warning You, But This Chart Might
Vanguard just projected public markets may return only 5% annually over the next decade. In a 2024 report, Goldman Sachs forecasted the S&P 500 may return just 3% annually for the same time frame—stats that put current valuations in the 7th percentile of history.
Translation? The gains we’ve seen over the past few years might not continue for quite a while.
Meanwhile, another asset class—almost entirely uncorrelated to the S&P 500 historically—has overall outpaced it for decades (1995-2024), according to Masterworks data.
Masterworks lets everyday investors invest in shares of multimillion-dollar artworks by legends like Banksy, Basquiat, and Picasso.
And they’re not just buying. They’re exiting—with net annualized returns like 17.6%, 17.8%, and 21.5% among their 23 sales.*
Wall Street won’t talk about this. But the wealthy already are. Shares in new offerings can sell quickly but…
*Past performance is not indicative of future returns. Important Reg A disclosures: masterworks.com/cd.
AI Tutorial
How to Automate Market Research in Minutes with Gemini 2.5 Computer Use

Market research usually takes hours and quickly drains your focus. In this tutorial, you’ll set up Gemini 2.5 Computer Use so it can browse competitor sites, extract the key info, and deliver a clean report in minutes.
Install Python
Install Python on Mac or Windows, then confirm it’s working in Terminal or PowerShell with:
python --versionor
python3 --versionSet up project folder
Create a clean folder for this project and launch a terminal inside it so everything stays organized.
Clone repo and install dependencies
Clone the Computer Use GitHub repo, activate the virtual environment, then install packages. Also run the browser setup so automation works:
pip install (repo requirements)
playwright install
Get Gemini API key
Create an API key in Google AI Studio, and link billing if needed so the tool can use Gemini 2.5.
Set API key as environment variable
Add your API key as an environment variable instead of pasting it into files, so it stays secure and reusable.
Write clear research query
Be specific about what to collect and how to format the output.
Include:
competitors or websites
what to extract (pricing tiers, limits, key features)
desired output (comparison table + summary + recommendation)
Example query:
Research the AI meeting assistant market. Visit Otter, Fireflies, Avoma, and Fathom. Extract pricing tiers, what each tier includes, user limits, and standout features. Output a comparison table plus a final recommendation for a 10-person sales team.Run agent command
Run:
python main.py --query="YOUR_RESEARCH_QUERY"Gemini will launch Chrome, browse, collect data, and generate a report you can save.
Note: Run two passes. First pass collects facts, second pass compares and recommends using your criteria.
Top AI & Tech News
Raspberry Pi released the AI HAT+ 2 for Raspberry Pi 5, an 8 GB accelerator board using Hailo‑10H that delivers up to 40 TOPS of AI performance for edge inference
Andrea Vallone, formerly head of model policy research at OpenAI, has joined Anthropic’s alignment team
Elon Musk said Grok 4.20 will lag behind Claude in coding, praised Anthropic for doing “something special,” and added cutting off xAI wasn’t good for their karma
Replit introduced mobile app creation that lets users build apps, test them through QR codes, and publish directly to the App Store from one platform
AI Art Spotlight

Create Your Own Photo Like This Using the Prompt Below:
Ultra-realistic 8K full-body portrait of the uploaded person wearing a clean and pressed white dress shirt with a folded collar and a small lapel microphone, dark navy-blue dress pants, and polished brown dress shoes. Casually and unpretentiously leaning against a smooth light gray studio wall; hands in pockets and one leg crossed over the other, with relaxed and confident body language. Add a prominent black and white vector portrait of their face and bust on the wall next to them—featuring sharp lines and angles, overlapping polygonal shapes, and a minimalist modern graphic style. Directly below the vector portrait, include the text "Altiam Kabir" and beneath that "AI Enthusiast". 1080x1080 dimensions.Model: Nano Banana Pro
Prompt of the Day
Growth Mentor Prompt for Mastering X (Twitter)
This prompt turns AI into a growth mentor for X who teaches a clear, two-phase system for building an audience: first, mastering what the algorithm rewards (long-form articles, quote tweets, and media that earn attention), then writing short, high-conversion posts that deliver genuine, actionable value and spark natural engagement.
Top AI Video Tutorial
The Simple 3-Step System for Doing Anything with AI
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